Stone detection in MRCP images using controlled region growing
Stones in the biliary tract are routinely identified using MRCP (magnetic resonance cholangiopancreatography). The noisy nature of the images, as well as varying intensity, size and location of the stones, defeat most automatic detection algorithms, making computer-aided diagnosis difficult. This pa...
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| Format: | Article |
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PERGAMON-ELSEVIER SCIENCE LTD
2007
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| Online Access: | http://shdl.mmu.edu.my/3022/ |
| _version_ | 1848790212944068608 |
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| author | LOGESWARAN, R ESWARAN, C |
| author_facet | LOGESWARAN, R ESWARAN, C |
| author_sort | LOGESWARAN, R |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Stones in the biliary tract are routinely identified using MRCP (magnetic resonance cholangiopancreatography). The noisy nature of the images, as well as varying intensity, size and location of the stones, defeat most automatic detection algorithms, making computer-aided diagnosis difficult. This paper proposes a multi-stage segment-based scheme for semi-automated detection of choledocholithiasis and cholelithiasis in the MRCP images, producing good performance in tests, differentiating them from "normal" MRCP images. With the high success rate of over 90%, refinement of the scheme could be applicable in the clinical environment as a tool in aiding diagnosis, with possible applications in telemedicine. (c) 2006 Elsevier Ltd. All rights reserved. |
| first_indexed | 2025-11-14T18:09:02Z |
| format | Article |
| id | mmu-3022 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:09:02Z |
| publishDate | 2007 |
| publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-30222011-09-29T06:15:34Z http://shdl.mmu.edu.my/3022/ Stone detection in MRCP images using controlled region growing LOGESWARAN, R ESWARAN, C T Technology (General) QA75.5-76.95 Electronic computers. Computer science Stones in the biliary tract are routinely identified using MRCP (magnetic resonance cholangiopancreatography). The noisy nature of the images, as well as varying intensity, size and location of the stones, defeat most automatic detection algorithms, making computer-aided diagnosis difficult. This paper proposes a multi-stage segment-based scheme for semi-automated detection of choledocholithiasis and cholelithiasis in the MRCP images, producing good performance in tests, differentiating them from "normal" MRCP images. With the high success rate of over 90%, refinement of the scheme could be applicable in the clinical environment as a tool in aiding diagnosis, with possible applications in telemedicine. (c) 2006 Elsevier Ltd. All rights reserved. PERGAMON-ELSEVIER SCIENCE LTD 2007-08 Article NonPeerReviewed LOGESWARAN, R and ESWARAN, C (2007) Stone detection in MRCP images using controlled region growing. Computers in Biology and Medicine, 37 (8). pp. 1084-1091. ISSN 00104825 http://dx.doi.org/10.1016/j.compbiomed.2006.09.008 doi:10.1016/j.compbiomed.2006.09.008 doi:10.1016/j.compbiomed.2006.09.008 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science LOGESWARAN, R ESWARAN, C Stone detection in MRCP images using controlled region growing |
| title | Stone detection in MRCP images using controlled region growing |
| title_full | Stone detection in MRCP images using controlled region growing |
| title_fullStr | Stone detection in MRCP images using controlled region growing |
| title_full_unstemmed | Stone detection in MRCP images using controlled region growing |
| title_short | Stone detection in MRCP images using controlled region growing |
| title_sort | stone detection in mrcp images using controlled region growing |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/3022/ http://shdl.mmu.edu.my/3022/ http://shdl.mmu.edu.my/3022/ |